Adaptive equalization for time-varying communication processes

This paper investigates the application of recursive parameter bounding to data communication equalizer problems. Considerable attention is paid to the reduction of intersymbol interference in the presence of noise for time-varying channels. Based on the rational transfer function model and the filter-bounding estimator. It is compared with the conventional equalization techniques, used to compensate the intersymbol interference problems. The proposed equalizer is found to economical and flexible for tracking channel variations of communication processes.